Multi-objective Gaussian particle swarm algorithm optimization based on niche sorting for actuator design

With the fast-developing electromagnetic valve actuator, multi-objective optimal methods for actuator problems have been widely concerned in recent years. This article presents a modified multi-objective particle swarm optimization algorithm based on sorting method and employs it to the product design of the actuator. The simulation results show that modified optimization algorithm could obtain a better Pareto front in contrast to classical non-dominated sorting genetic algorithm-II method, meanwhile preserving the high capacity of fast solving of non-dominated solutions.